Principal AI Engineer - Frontier Data
Posted
Tech Stack
Responsibilities
- Design and ship full-stack AI applications, owning the pipeline from data ingestion to LLM inference to the frontend interface.
- Architect autonomous agentic workflows using frameworks like LangChain, LangGraph, or custom implementations.
- Write robust, clean, and highly testable production-grade code (Python/Typescript) that works in customer's restricted cloud environments.
- Handle DevOps and MLOps constraints including Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.
- Serve as the technical face of the company for demanding accounts, navigating complex stakeholder environments and translating technical constraints into business value.
Benefits
- Equity
- Learning Budget
Culture
Customer-ObsessedFast-PacedAgile/ScrumAI-ForwardCollaborative Space
Requirements
Required: B.S. in Computer Science, Math, or Physics from a top-tier institution
Preferred: M.S. in Computer Science, Math, or Physics from a top-tier institution
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About Turing
Industry: ai
Size: small
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems, based in San Francisco, California. They accelerate frontier research with high-quality data, specialized talent, and training pipelines.
View company profile →Compensation
Equity: equity
Bonus: variable